InfoEducatie - What is Solution Architecture?
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This document discusses information technology architecture and considerations for choosing a data store solution. It defines IT architecture and outlines common concerns like processes, infrastructure, integration, performance, and cost. These concerns are explored in more detail regarding components, scenarios, capacity planning, redundancy, and patterns/anti-patterns. The document concludes with factors to consider when choosing a data store, such as volume, load, response time, consistency, and cost of ownership.
InfoEducatie - What is Solution Architecture?
- 2. Definition Concerns Processes Infrastructure Integration Performance/Scalability Cost Case study: Choosing a (Big)Data Store Things to Consider Shopping List
- 3. “Information technology architecture is the process of development of methodical information technology specifications, models and guidelines, using a variety of InformationTechnology notations, for example UML (…)“
- 4. What is actually required? What are the silent requirements (expectations)? What do we have to develop? What can we reuse?Aren’t we reinventing the wheel? Do we have to integrate something? How? How much effort does it take? How much does it cost (to buy and to operate)?
- 5. Finding solutions to problems (performance, scalability, development, cost) before they become problems.
- 8. Components: Actors/Systems/Swim lanes Actions Messages Helps with: Separation of concerns Structuring possible scenarios Identifying untreated cases and exceptions
- 10. Type On-premise Hosted Cloud Capacity Planning Monitoring and Alerting Redundancy/Resilience/Fault-tolerance Disaster Recovery
- 12. Patterns: Service Oriented Architecture SOAP, REST Publish/Subscribe Request/Reply Callback • Messages Queues / Enterprise Service Bus Data Replication Extraction-Transformation-Loading (Batch Processing) Anti-patterns: File transfer Shared database
- 13. Performance Non-functional requirements Volume ResponseTime Scalability Vertical – scale up – more powerful machines Horizontal – scale out – more identical machines
- 17. Types of Cost Capital – how much it costs to build? Operational – how much it costs to operate? What you care about is … Total Cost of Ownership (TCO) Operational costs include Maintenance (including staff) Support (including staff) Rent Power & cooling Backup and backup management Spare parts
- 18. How to Choose a (Big)Data Store?
- 21. What’s it called? What does it mean? Volumetry If it’s less than 100GB, don’t bother calling it BigData Atomic Query Size Are you reading 10 or 10 million records per transaction? Load Do you expect 5 or 5000 queries per second? ResponseTime Do you expect your data store to answer in 1ms, 10ms or 10s? Immutability Once your data is written, does it stay written? Strict Consistency Do you need changes to be instantly visible to all readers? Data Freshness Do you need the absolute latest data, to the millisecond? ACID Compliance If you work with ordering or payments, you want transactions. Query Accuracy Is there room for error for the results to your queries? Persistence/Durability Should data be stored on a permanent medium (HDD, SSD)? HighAvailability Is it required that the data stores stays available throughout hardware and network failures?
- 23. Enterprise Integration Patterns Cloud Design Pattern and Reference Architectures Amazon Web Service Reference Architectures Microsoft Azure Design Patterns
- 24. http://en.wikipedia.org/wiki/Scalability http://en.wikipedia.org/wiki/Consistency_model http://en.wikipedia.org/wiki/Fallacies_of_distrib uted_computing http://en.wikipedia.org/wiki/Enterprise_architect ure_framework http://en.wikipedia.org/wiki/Zachman_Framewo rk http://en.wikipedia.org/wiki/List_of_system_qua lity_attributes http://en.wikipedia.org/wiki/Shared_nothing_ar chitecture
- 25. Bogdan@visagecloud.com bocse.ro www.linkedin.com/in/bogdanbocse www.facebook.com/SolutionsArchitectures